Human behavior recognition via top-view vision for intelligent space

Skulkittiyut Weerachai, Makoto Mizukawa

研究成果

11 被引用数 (Scopus)

抄録

Intelligent Space (IS), a kind of intelligent home, is one of the popular of the applying RT into our daily life. In intelligent space environment, human behavior is one of the meaningful information for interpretation of our intention and needs. In this paper, we proposed the human posture recognition approach which focuses on a top-view vision. A top-view vision enables our system to observe the whole area with single camera and also avoid horizontal obstacle. Moreover, a human posture feature which based on DFT (Discrete-time Fourier Transform) coefficients of log-polar histogram has been proposed. We have categorized human behavior to two types. The first one is a stationary behavior which consists of standing, sitting and lying. The second one is a moving behavior.

本文言語English
ホスト出版物のタイトルICCAS 2010 - International Conference on Control, Automation and Systems
ページ1687-1690
ページ数4
出版ステータスPublished - 2010 12 1
イベントInternational Conference on Control, Automation and Systems, ICCAS 2010 - Gyeonggi-do, Korea, Republic of
継続期間: 2010 10 272010 10 30

出版物シリーズ

名前ICCAS 2010 - International Conference on Control, Automation and Systems

Conference

ConferenceInternational Conference on Control, Automation and Systems, ICCAS 2010
国/地域Korea, Republic of
CityGyeonggi-do
Period10/10/2710/10/30

ASJC Scopus subject areas

  • 人工知能
  • 制御およびシステム工学

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